Immigrants from Bangladesh vs Japanese Community Comparison

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Immigrants from Bangladesh
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Japanese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Immigrants from Bangladesh

Japanese

Poor
Fair
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK

Japanese Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 141,198,546 people shows a mild negative correlation between the proportion of Japanese within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.358. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.040% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 40.4 Japanese.
Immigrants from Bangladesh Integration in Japanese Communities

Immigrants from Bangladesh vs Japanese Income

When considering income, the most significant differences between Immigrants from Bangladesh and Japanese communities in the United States are seen in wage/income gap (20.9% compared to 23.8%, a difference of 13.6%), householder income ages 45 - 64 years ($92,208 compared to $96,834, a difference of 5.0%), and per capita income ($41,709 compared to $39,870, a difference of 4.6%). Conversely, both communities are more comparable in terms of median male earnings ($51,642 compared to $51,473, a difference of 0.33%), householder income ages 25 - 44 years ($90,448 compared to $91,624, a difference of 1.3%), and median earnings ($45,532 compared to $44,825, a difference of 1.6%).
Immigrants from Bangladesh vs Japanese Income
Income MetricImmigrants from BangladeshJapanese
Per Capita Income
Poor
$41,709
Tragic
$39,870
Median Family Income
Tragic
$94,665
Tragic
$97,288
Median Household Income
Tragic
$80,722
Fair
$83,395
Median Earnings
Fair
$45,532
Tragic
$44,825
Median Male Earnings
Tragic
$51,642
Tragic
$51,473
Median Female Earnings
Good
$39,910
Tragic
$38,528
Householder Age | Under 25 years
Exceptional
$54,714
Good
$52,365
Householder Age | 25 - 44 years
Tragic
$90,448
Poor
$91,624
Householder Age | 45 - 64 years
Tragic
$92,208
Poor
$96,834
Householder Age | Over 65 years
Tragic
$55,394
Tragic
$57,919
Wage/Income Gap
Exceptional
20.9%
Exceptional
23.8%

Immigrants from Bangladesh vs Japanese Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Japanese communities in the United States are seen in married-couple family poverty (7.5% compared to 5.6%, a difference of 34.8%), seniors poverty over the age of 75 (15.8% compared to 13.3%, a difference of 18.4%), and family poverty (11.7% compared to 9.9%, a difference of 18.1%). Conversely, both communities are more comparable in terms of single male poverty (13.0% compared to 13.1%, a difference of 0.50%), single female poverty (22.3% compared to 21.3%, a difference of 4.5%), and female poverty among 25-34 year olds (14.8% compared to 14.1%, a difference of 4.9%).
Immigrants from Bangladesh vs Japanese Poverty
Poverty MetricImmigrants from BangladeshJapanese
Poverty
Tragic
15.3%
Tragic
13.3%
Families
Tragic
11.7%
Tragic
9.9%
Males
Tragic
14.1%
Tragic
12.2%
Females
Tragic
16.4%
Tragic
14.5%
Females 18 to 24 years
Tragic
21.8%
Exceptional
18.8%
Females 25 to 34 years
Tragic
14.8%
Poor
14.1%
Children Under 5 years
Tragic
20.1%
Poor
18.1%
Children Under 16 years
Tragic
19.8%
Tragic
17.7%
Boys Under 16 years
Tragic
19.9%
Tragic
17.7%
Girls Under 16 years
Tragic
19.9%
Tragic
17.8%
Single Males
Fair
13.0%
Poor
13.1%
Single Females
Tragic
22.3%
Fair
21.3%
Single Fathers
Average
16.3%
Exceptional
15.2%
Single Mothers
Tragic
31.1%
Good
28.9%
Married Couples
Tragic
7.5%
Tragic
5.6%
Seniors Over 65 years
Tragic
14.1%
Tragic
12.2%
Seniors Over 75 years
Tragic
15.8%
Tragic
13.3%
Receiving Food Stamps
Tragic
15.9%
Tragic
14.1%

Immigrants from Bangladesh vs Japanese Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Japanese communities in the United States are seen in unemployment among ages 20 to 24 years (12.6% compared to 10.0%, a difference of 25.3%), unemployment among ages 55 to 59 years (5.9% compared to 4.8%, a difference of 22.2%), and unemployment among ages 16 to 19 years (21.5% compared to 17.6%, a difference of 21.8%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.8% compared to 8.4%, a difference of 4.5%), unemployment among ages 35 to 44 years (5.3% compared to 5.1%, a difference of 5.3%), and unemployment among ages 25 to 29 years (7.5% compared to 6.9%, a difference of 8.7%).
Immigrants from Bangladesh vs Japanese Unemployment
Unemployment MetricImmigrants from BangladeshJapanese
Unemployment
Tragic
6.5%
Tragic
5.6%
Males
Tragic
6.6%
Tragic
5.8%
Females
Tragic
6.5%
Tragic
5.6%
Youth < 25
Tragic
14.2%
Fair
11.7%
Age | 16 to 19 years
Tragic
21.5%
Average
17.6%
Age | 20 to 24 years
Tragic
12.6%
Exceptional
10.0%
Age | 25 to 29 years
Tragic
7.5%
Tragic
6.9%
Age | 30 to 34 years
Tragic
6.4%
Tragic
5.9%
Age | 35 to 44 years
Tragic
5.3%
Tragic
5.1%
Age | 45 to 54 years
Tragic
5.4%
Tragic
4.7%
Age | 55 to 59 years
Tragic
5.9%
Average
4.8%
Age | 60 to 64 years
Tragic
6.0%
Tragic
5.1%
Age | 65 to 74 years
Tragic
5.9%
Exceptional
5.2%
Seniors > 65
Tragic
5.7%
Exceptional
4.9%
Seniors > 75
Tragic
9.1%
Exceptional
8.3%
Women w/ Children < 6
Tragic
8.8%
Good
7.5%
Women w/ Children 6 to 17
Good
8.8%
Exceptional
8.4%
Women w/ Children < 18
Tragic
6.4%
Tragic
5.7%

Immigrants from Bangladesh vs Japanese Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Japanese communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 37.5%, a difference of 24.9%), in labor force | age 20-24 (70.6% compared to 75.3%, a difference of 6.6%), and in labor force | age > 16 (64.5% compared to 65.8%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (82.9% compared to 83.6%, a difference of 0.78%), in labor force | age 30-34 (83.6% compared to 84.3%, a difference of 0.88%), and in labor force | age 45-54 (80.7% compared to 81.6%, a difference of 1.1%).
Immigrants from Bangladesh vs Japanese Labor Participation
Labor Participation MetricImmigrants from BangladeshJapanese
In Labor Force | Age > 16
Tragic
64.5%
Exceptional
65.8%
In Labor Force | Age 20-64
Tragic
77.9%
Tragic
79.1%
In Labor Force | Age 16-19
Tragic
30.0%
Excellent
37.5%
In Labor Force | Age 20-24
Tragic
70.6%
Good
75.3%
In Labor Force | Age 25-29
Tragic
83.0%
Poor
84.3%
In Labor Force | Age 30-34
Tragic
83.6%
Tragic
84.3%
In Labor Force | Age 35-44
Tragic
82.9%
Tragic
83.6%
In Labor Force | Age 45-54
Tragic
80.7%
Tragic
81.6%

Immigrants from Bangladesh vs Japanese Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Japanese communities in the United States are seen in single father households (2.1% compared to 2.8%, a difference of 32.9%), births to unmarried women (30.9% compared to 35.2%, a difference of 13.8%), and divorced or separated (11.0% compared to 12.0%, a difference of 9.1%). Conversely, both communities are more comparable in terms of average family size (3.36 compared to 3.35, a difference of 0.44%), currently married (43.6% compared to 44.5%, a difference of 1.9%), and family households (63.9% compared to 65.9%, a difference of 3.2%).
Immigrants from Bangladesh vs Japanese Family Structure
Family Structure MetricImmigrants from BangladeshJapanese
Family Households
Poor
63.9%
Exceptional
65.9%
Family Households with Children
Good
27.6%
Exceptional
29.4%
Married-couple Households
Tragic
43.1%
Tragic
45.2%
Average Family Size
Exceptional
3.36
Exceptional
3.35
Single Father Households
Exceptional
2.1%
Tragic
2.8%
Single Mother Households
Tragic
6.9%
Tragic
7.4%
Currently Married
Tragic
43.6%
Tragic
44.5%
Divorced or Separated
Exceptional
11.0%
Good
12.0%
Births to Unmarried Women
Good
30.9%
Tragic
35.2%

Immigrants from Bangladesh vs Japanese Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Japanese communities in the United States are seen in no vehicles in household (25.8% compared to 9.4%, a difference of 173.0%), 4 or more vehicles in household (3.9% compared to 7.7%, a difference of 97.3%), and 3 or more vehicles in household (12.5% compared to 21.8%, a difference of 74.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 90.6%, a difference of 22.0%), 2 or more vehicles in household (38.8% compared to 57.5%, a difference of 48.3%), and 3 or more vehicles in household (12.5% compared to 21.8%, a difference of 74.0%).
Immigrants from Bangladesh vs Japanese Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshJapanese
No Vehicles Available
Tragic
25.8%
Exceptional
9.4%
1+ Vehicles Available
Tragic
74.3%
Exceptional
90.6%
2+ Vehicles Available
Tragic
38.8%
Exceptional
57.5%
3+ Vehicles Available
Tragic
12.5%
Exceptional
21.8%
4+ Vehicles Available
Tragic
3.9%
Exceptional
7.7%

Immigrants from Bangladesh vs Japanese Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Japanese communities in the United States are seen in professional degree (4.4% compared to 3.5%, a difference of 25.3%), master's degree (15.5% compared to 12.5%, a difference of 23.8%), and doctorate degree (1.8% compared to 1.5%, a difference of 21.1%). Conversely, both communities are more comparable in terms of 8th grade (93.6% compared to 93.6%, a difference of 0.0%), 6th grade (95.4% compared to 95.4%, a difference of 0.010%), and 7th grade (94.0% compared to 94.0%, a difference of 0.030%).
Immigrants from Bangladesh vs Japanese Education Level
Education Level MetricImmigrants from BangladeshJapanese
No Schooling Completed
Tragic
3.1%
Tragic
3.3%
Nursery School
Tragic
96.9%
Tragic
96.7%
Kindergarten
Tragic
96.8%
Tragic
96.7%
1st Grade
Tragic
96.8%
Tragic
96.6%
2nd Grade
Tragic
96.7%
Tragic
96.5%
3rd Grade
Tragic
96.6%
Tragic
96.4%
4th Grade
Tragic
96.2%
Tragic
96.0%
5th Grade
Tragic
96.0%
Tragic
95.7%
6th Grade
Tragic
95.4%
Tragic
95.4%
7th Grade
Tragic
94.0%
Tragic
94.0%
8th Grade
Tragic
93.6%
Tragic
93.6%
9th Grade
Tragic
92.4%
Tragic
92.6%
10th Grade
Tragic
91.0%
Tragic
91.2%
11th Grade
Tragic
89.5%
Tragic
89.9%
12th Grade, No Diploma
Tragic
88.0%
Tragic
88.3%
High School Diploma
Tragic
85.5%
Tragic
85.9%
GED/Equivalency
Tragic
81.9%
Tragic
82.4%
College, Under 1 year
Tragic
61.3%
Tragic
61.5%
College, 1 year or more
Tragic
56.6%
Tragic
55.2%
Associate's Degree
Fair
45.2%
Tragic
41.7%
Bachelor's Degree
Average
37.8%
Tragic
33.3%
Master's Degree
Good
15.5%
Tragic
12.5%
Professional Degree
Average
4.4%
Tragic
3.5%
Doctorate Degree
Average
1.8%
Tragic
1.5%

Immigrants from Bangladesh vs Japanese Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Japanese communities in the United States are seen in disability age under 5 (0.85% compared to 1.2%, a difference of 38.1%), hearing disability (2.4% compared to 3.0%, a difference of 24.0%), and disability age 18 to 34 (5.6% compared to 6.8%, a difference of 21.0%). Conversely, both communities are more comparable in terms of ambulatory disability (6.2% compared to 6.3%, a difference of 1.1%), self-care disability (2.6% compared to 2.7%, a difference of 1.9%), and cognitive disability (17.8% compared to 18.3%, a difference of 2.3%).
Immigrants from Bangladesh vs Japanese Disability
Disability MetricImmigrants from BangladeshJapanese
Disability
Exceptional
11.0%
Tragic
12.2%
Males
Exceptional
10.3%
Tragic
11.7%
Females
Exceptional
11.8%
Tragic
12.6%
Age | Under 5 years
Exceptional
0.85%
Exceptional
1.2%
Age | 5 to 17 years
Exceptional
5.2%
Tragic
6.1%
Age | 18 to 34 years
Exceptional
5.6%
Poor
6.8%
Age | 35 to 64 years
Excellent
10.9%
Tragic
12.3%
Age | 65 to 74 years
Fair
23.6%
Tragic
25.7%
Age | Over 75 years
Tragic
48.0%
Tragic
50.2%
Vision
Good
2.1%
Tragic
2.4%
Hearing
Exceptional
2.4%
Average
3.0%
Cognitive
Tragic
17.8%
Tragic
18.3%
Ambulatory
Fair
6.2%
Poor
6.3%
Self-Care
Tragic
2.6%
Tragic
2.7%